A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment
Abstract Flood risk assessment (FRA) is a process of evaluating potential flood damage by considering vulnerability of exposed elements and consequences of flood events through risk analysis which recommends the mitigation measures to reduce the impact of floods. This flood risk analysis is a techni...
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Nature Portfolio
2025-08-01
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| Series: | Scientific Reports |
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| Online Access: | https://doi.org/10.1038/s41598-025-13025-z |
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| author | Kamalini Devi Chundi Chenna Reddy Kandakatla Rahul Jnana Ranjan Khuntia Bhabani Shankar Das |
| author_facet | Kamalini Devi Chundi Chenna Reddy Kandakatla Rahul Jnana Ranjan Khuntia Bhabani Shankar Das |
| author_sort | Kamalini Devi |
| collection | DOAJ |
| description | Abstract Flood risk assessment (FRA) is a process of evaluating potential flood damage by considering vulnerability of exposed elements and consequences of flood events through risk analysis which recommends the mitigation measures to reduce the impact of floods. This flood risk analysis is a technique used to identify and rank the level of flood risk through modeling and spatial analysis. In the present study, Musi River in the Osmansagar basin is taken in to consideration to evaluate the flood risk, which is located at Hyderabad. The input data collected for the study encompasses Hydrological and Meteorological datasets from Gandipet Guage station in Hyderabad, raster grid data for Osmansagar basin along with several indicators data influencing flood vulnerability. The primary research objective is to conduct a quantitative assessment of the Flood vulnerability index (FVI), to develop a comprehensive flood risk map and to evaluate the magnitude of damaging flood parameters, inundated volume and to analyze the regions inundated in the study area. In risk analysis, FVI determines the degree of which an area is susceptible to the negative impact of flood through various influencing indicators, Flood hazard map segregate the regions based on flood risk level through spatial analysis in Arc-GIS. A part of this study includes an integrated methodology for assessing flood inundation using Quantum Geographic Information Systems (QGIS) data modelling for spatial analysis, Hydraulic Engineering Center’s River Analysis System (HEC-RAS) hydraulic modelling for unsteady flow analysis and a machine learning technique i.e. XGBoost, to enhance the accuracy and efficiency of flood risk assessment. Subsequently, inundation map produced using HEC-RAS is superimposed with building footprints to identify vulnerable structures. The results obtained by risk analysis using hydraulic modeling, GIS analysis, and machine learning technique illustrates the flood vulnerability, areas having high flood risk and inundated volume along with predicted flood levels for next 10 years. These findings demonstrate the efficiency of the holistic approach in identifying vulnerability, flood-prone areas and evaluating potential impacts on infrastructure and communities. The outcomes of the study assist the decision-makers to gain valuable insights into flood risk management strategies. |
| format | Article |
| id | doaj-art-fa9741c63cf54ebc8b59cf83844ac5cd |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-fa9741c63cf54ebc8b59cf83844ac5cd2025-08-20T03:43:21ZengNature PortfolioScientific Reports2045-23222025-08-0115113410.1038/s41598-025-13025-zA holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessmentKamalini Devi0Chundi Chenna Reddy1Kandakatla Rahul2Jnana Ranjan Khuntia3Bhabani Shankar Das4Department of Civil Engieering, National Institute of Technology WarangalDepartment of Civil Engieering, Chaitanya Bharathi Institute of TechnologyDepartment of Civil Engieering, National Institute of TechnologyDepartment of Civil Engieering, Chaitanya Bharathi Institute of TechnologyDepartment of Civil Engieering, National Institute of TechnologyAbstract Flood risk assessment (FRA) is a process of evaluating potential flood damage by considering vulnerability of exposed elements and consequences of flood events through risk analysis which recommends the mitigation measures to reduce the impact of floods. This flood risk analysis is a technique used to identify and rank the level of flood risk through modeling and spatial analysis. In the present study, Musi River in the Osmansagar basin is taken in to consideration to evaluate the flood risk, which is located at Hyderabad. The input data collected for the study encompasses Hydrological and Meteorological datasets from Gandipet Guage station in Hyderabad, raster grid data for Osmansagar basin along with several indicators data influencing flood vulnerability. The primary research objective is to conduct a quantitative assessment of the Flood vulnerability index (FVI), to develop a comprehensive flood risk map and to evaluate the magnitude of damaging flood parameters, inundated volume and to analyze the regions inundated in the study area. In risk analysis, FVI determines the degree of which an area is susceptible to the negative impact of flood through various influencing indicators, Flood hazard map segregate the regions based on flood risk level through spatial analysis in Arc-GIS. A part of this study includes an integrated methodology for assessing flood inundation using Quantum Geographic Information Systems (QGIS) data modelling for spatial analysis, Hydraulic Engineering Center’s River Analysis System (HEC-RAS) hydraulic modelling for unsteady flow analysis and a machine learning technique i.e. XGBoost, to enhance the accuracy and efficiency of flood risk assessment. Subsequently, inundation map produced using HEC-RAS is superimposed with building footprints to identify vulnerable structures. The results obtained by risk analysis using hydraulic modeling, GIS analysis, and machine learning technique illustrates the flood vulnerability, areas having high flood risk and inundated volume along with predicted flood levels for next 10 years. These findings demonstrate the efficiency of the holistic approach in identifying vulnerability, flood-prone areas and evaluating potential impacts on infrastructure and communities. The outcomes of the study assist the decision-makers to gain valuable insights into flood risk management strategies.https://doi.org/10.1038/s41598-025-13025-zFlood vulnerability Flood risk mapQGISHEC-RASSpatial analysisUnsteady flow analysis |
| spellingShingle | Kamalini Devi Chundi Chenna Reddy Kandakatla Rahul Jnana Ranjan Khuntia Bhabani Shankar Das A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment Scientific Reports Flood vulnerability Flood risk map QGIS HEC-RAS Spatial analysis Unsteady flow analysis |
| title | A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment |
| title_full | A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment |
| title_fullStr | A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment |
| title_full_unstemmed | A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment |
| title_short | A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment |
| title_sort | holistic methodology for evaluating flood vulnerability generating flood risk map and conducting detailed flood inundation assessment |
| topic | Flood vulnerability Flood risk map QGIS HEC-RAS Spatial analysis Unsteady flow analysis |
| url | https://doi.org/10.1038/s41598-025-13025-z |
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